• Title/Summary/Keyword: 항공교통흐름관리

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Machine Learning Based Capacity Prediction Model of Terminal Maneuvering Area (기계학습 기반 접근관제구역 수용량 예측 모형)

  • Han, Sanghyok;Yun, Taegyeong;Kim, Sang Hyun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.3
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    • pp.215-222
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    • 2022
  • The purpose of air traffic flow management is to balance demand and capacity in the national airspace, and its performance relies on an accurate capacity prediction of the airport or airspace. This paper developed a regression model that predicts the number of aircraft actually departing and arriving in a terminal maneuvering area. The regression model is based on a boosting ensemble learning algorithm that learns past aircraft operational data such as time, weather, scheduled demand, and unfulfilled demand at a specific airport in the terminal maneuvering area. The developed model was tested using historical departure and arrival flight data at Incheon International Airport, and the coefficient of determination is greater than 0.95. Also, the capacity of the terminal maneuvering area of interest is implicitly predicted by using the model.

A Dynamic Route Search Algorithm for Time-Sensitive Air Cargo in Air Traffic Management (항공교통관리에서 시간에 민감한 항공운송을 위한 동적 항로탐색 알고리즘)

  • Cho, Tae-Hwan;Kim, Kang-Hee;Choi, Sang-Bang
    • Journal of Advanced Navigation Technology
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    • v.16 no.5
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    • pp.744-751
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    • 2012
  • Air Traffic Management(ATM) is to control air traffic flow quickly and safely. For efficient ATM, the ability which calculate optimal route using filight plan and filght information is required. Especially for the time-sensitive air cargo, it is essential. In this paper, therefore, we present a dynamic route search algorithm which calculate optimal route dynamically. The conventional method using Dijkstra algorithm has a problem that recalculate the entire route when some airways are closed. However, the proposed algorithm recalculates only affected waypoints, so it finds optimal route quickly and accurately. Comparisons with the conventional method and the proposed algorithm show that the proposed algorithm provides better.

A Study on the Improvement of West Sea Airways between Korea and China (한.중 서해 항공로(G597/Y64) 개선방안에 관한 고찰)

  • Maeng, Sung-Kyu;Park, Sun-Rae;Lee, Kang-Hyun
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.19 no.4
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    • pp.111-116
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    • 2011
  • Incheon International Airport is becoming a hub in the Northeast Asia region since its opening in 2001. Along with an increasing volume of air traffic, demands for airspace are also increasing significantly. In particular, air traffic delays have been growing rapidly due to an increasing volume of air traffic, specially flying to Europe through China. And therefore, there should be an alternative protocol to prevent flight delays. The main purpose of this study is to review current West Sea Airways of G597/Y64 which contains highly potential problems and to evaluate the efficacy of double-tracked airways in the west sea area.

A Study on Operational Improvements for Reducing Carbon Emissions from Aviation (항공 탄소 배출 감소를 위한 운영 개선 방안 연구)

  • Sung-Mi Kim;Eun-Mi Kim;Sang-Hoon Lim;Ho-Won Hwang
    • Journal of Advanced Navigation Technology
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    • v.27 no.1
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    • pp.119-125
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    • 2023
  • It is necessary to reduce aviation GHG(CO2) emission to ensure aviation sustainable development. Operational improvements may not contribute significantly to carbon reduction but it can sustatially reduce emission in a short term. ICAO has developed GANP and ASBU to optimize operations and countries are making efforts to expand infrastructure and develop technology. The legal barriers to operational improvement are based on the notion of state sovereignty under the Chicago Convention which allows countries to control inefficiencies based on borders or limit or prohibit the passage of aircraft. Chicago Convention does not grant unlimited freedom of air sovereignty and if the concept of state sovereignty is interpreted according to the times it is possible to achieve smooth operational improvement.

A Legal Study on Safety Management System (항공안전관리에 관한 법적 고찰)

  • So, Jae-Seon;Lee, Chang-Kyu
    • The Korean Journal of Air & Space Law and Policy
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    • v.29 no.1
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    • pp.3-32
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    • 2014
  • Safety Management System is the aviation industry policy for while operating the aircraft, to ensure the safety crew, aircraft and passengers. For operating a safe aircraft, in order to establish the international technical standards, the International Civil Aviation Organization has established the Annex 19 of the Convention on International Civil Aviation. As a result, member country was supposed to be in accordance with the policy of the International Civil Aviation Organization, to accept the international standard of domestic air law. The South Korean government announced that it would promote active safety management strategy in primary aviation policy master plan of 2012. And, by integrating and state safety programmes(ssp) and safety management system(sms) for the safe management of Annex 19 is to enforce the policy on aviation safety standards. State safety programmes(ssp) is a system of activities for the aim of strengthening the safety and integrated management of the activities of government. State safety programmes(ssp) is important on the basis of the data of the risk information. Collecting aviation hazard information is necessary for efficient operation of the state safety programmes(ssp) Korean government must implement the strategy required to comply with aviation methods and standards of the International Civil Aviation Organization. Airlines, must strive to safety features for safety culture construction and improvement of safety management is realized. It is necessary to make regulations on the basis of the aviation practice, for aviation safety regulatory requirements, aviation safety should reflect the opinion of the aviation industry.

A Study on Simulation-based Method for Implementation of Ground Delay Program for Jeju International Airport (시뮬레이션 기반의 지상지연 프로그램 적용방안에 관한 연구 - 제주국제공항을 사례로 -)

  • Lee, Young-Jong;Cho, Ji-Eun;Baik, Ho-Jong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.23 no.1
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    • pp.41-48
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    • 2015
  • Being a cost-efficient solution for alleviating the traffic congestion in airspace, Air Traffic Flow Management (ATFM) has drawn more attentions from not only air traffic controllers but also researchers in the field of Air Traffic Management (ATM). Among other ATFM initiatives, it is believed that Ground Delay Program (GDP) could be effectively applied to reduce the congestion particularly in the relatively small airspace with dense traffic demand. This paper introduces a novel way that suggests flights to be delayed on the departing airports together with amount of the delays (in time) for those flights to be delayed. Adopting a fast-time simulation for predicting airspace delay of each flight for a given flight plan, the method is designed to iteratively and incrementally adjust the departure times in the plan towards reducing total airspace delays. Applying the method to Jeju airport with a hypothetically high demand, the paper demonstrates the airspace delay could be significantly reduced by applying GDP at Gimpo airport where more than 60% of Juju-bound flights departure. Although the simulation model needs to be calibrated and validated for the real-world application, the results clearly shows that the approach can possibly implemented as a tool for preparing the daily plan at the pre-tactical stage defined in the ICAO ATFM manual.

A development of an Optimization-Based Flight Scheduler and Its Simulation-Based Application to Real Airports (최적화 기법 기반의 항공기 스케줄러 개발 및 실제 공항의 수치적 모사)

  • Ryu, MinSeok;Song, Jae-Hoon;Choi, Seongim
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.9
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    • pp.681-688
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    • 2013
  • Several problems caused by inevitable increment of airplane have been issued. The most effective solution to solve the issues is considered as establishing appropriate Air Traffic Management (ATM) that reduces aircraft's delay at an airport and intensify the airport's capacity. The purpose of this paper is to produce the optimum aircraft schedules that maximize the aircraft throughput by smooth air traffic flow near terminal area of an airport In this paper, mathematical formulations of the scheduling problem are firstly specified. Based on the mathematical modelling, an Optimization-Based Flight Scheduler that provides the optimum flight schedules for arriving aircraft is developed by introducing the Mixed Integer Linear Programming(MILP) and the Genetic Algorithms(GA). With this scheduler, we calculated the optimum schedules to compare to real schedule data from an Incheon Airport. As a result, it is validated that aircraft throughput produced by the optimum schedule is much better than that of the schedule from the Incheon airport. The optimization-based flight scheduler is expected to deal with problems due to the aircraft saturation in near future.